Research Engineer I (Computer Science / Artificial Intelligence / Data Science / Electrical Engineering)

Nanyang Technological University; Singapore; On-site; SGD 90,000 - 135,000; Full time

Job summary

Nanyang Technological University (NTU) in Singapore invites applications for a Research Engineer to advance Green AI for sustainable computing. You will contribute to LLMs, efficient ML, and deployment-ready AI systems at the ANGEL lab.

Collaborating with multidisciplinary teams, you will design experiments, benchmark methods, and publish findings in leading conferences, translating research into scalable technologies for global impact.

Qualifications

• Bachelor's degree in a related discipline and strong ML background.
• Experience with large language models and efficient AI techniques.
• Proficiency in Python and modern DL frameworks.
• Experience with large-scale datasets and distributed training.
• Excellent written and verbal communication.

Responsibilities

• Develop Green AI algorithms for efficiency and scalability.
• Experiment, benchmark, and analyze model performance.
• Translate research into deployable AI systems.
• Collaborate with interdisciplinary teams and publish findings.
• Stay updated on Green AI and foundation models.

Skills

Python

Machine learning

Large language models

PyTorch

TensorFlow

Distributed training

Research communication

Education

Bachelor's degree in Computer Science, AI, Data Science, Electrical Engineering or related

Tools

PyTorch

TensorFlow

Job description

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability. ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity.

We are seeking a highly motivated Research Engineer to develop next-generation Green AI technologies that improve the efficiency, sustainability, and scalability of artificial intelligence systems. The successful candidate will contribute to cutting‑edge research and engineering in large language models (LLMs), efficient machine learning, and AI systems, translating research innovations into practical solutions for sustainable computing and real‑world applications. This role offers opportunities to work at the intersection of AI research, software engineering, and sustainability, collaborating with multidisciplinary teams across academia and industry.

Job Description:

• Support the design, development, and implementation novel machine learning and large language model (LLM) algorithms for Green AI applications.
• Support the research of efficient AI techniques, including model optimization, parameter‑efficient fine‑tuning, self‑training, retrieval‑augmented generation (RAG), prompt engineering, and efficient inference.
• Conduct experiments, benchmark algorithms, and analyze performance using rigorous scientific methodologies.
• Contribute to publications in leading AI conferences and journals.
• Collaborate with cross‑functional teams to translate research outcomes into deployable technologies.
• Keep abreast of the latest developments in Green AI, foundation models, code intelligence, and AI systems.

Job Requirements:

• Bachelor's in Computer Science, Artificial Intelligence, Data Science, Electrical Engineering, or a related discipline.
• Strong background in machine learning, deep learning, and large language models.
• Experience working with large‑scale datasets and distributed model training.
• Strong programming skills in Python.
• Experience with modern deep learning frameworks such as PyTorch or TensorFlow.
• Strong analytical and problem‑solving abilities.
• Good written and verbal communication skills.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution:

NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world‑class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark‑certified (equivalent to LEED‑certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech‑enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

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